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popDiscrepancy

Find the discrepancy value between two means and covariance matrices


Description

Find the discrepancy value between two means and covariance matrices. See the definition of each index at summaryMisspec.

Usage

popDiscrepancy(paramM, paramCM, misspecM, misspecCM)

Arguments

paramM

The model-implied mean from the real parameters

paramCM

The model-implied covariance matrix from the real parameters

misspecM

The model-implied mean from the real and misspecified parameters

misspecCM

The model-implied covariance matrix from the real and misspecified parameters

Value

The discrepancy between two means and covariance matrices

Author(s)

Sunthud Pornprasertmanit (psunthud@gmail.com)

References

Browne, M. W., & Cudeck, R. (1992). Alternative ways of assessing model fit. Sociological Methods & Research, 21, 230-258.

Examples

m1 <- rep(0, 3)
m2 <- c(0.1, -0.1, 0.05)
S1 <- matrix(c(1, 0.6, 0.5, 0.6, 1, 0.4, 0.5, 0.4, 1), 3, 3)
S2 <- matrix(c(1, 0.55, 0.55, 0.55, 1, 0.55, 0.55, 0.55, 1), 3, 3)
popDiscrepancy(m1, S1, m2, S2)

simsem

SIMulated Structural Equation Modeling

v0.5-16
GPL (>= 2)
Authors
Sunthud Pornprasertmanit [aut], Patrick Miller [aut], Alexander Schoemann [aut] (<https://orcid.org/0000-0002-8479-8798>), Terrence D. Jorgensen [aut, cre] (<https://orcid.org/0000-0001-5111-6773>), Corbin Quick [ctb]
Initial release
2021-03-28

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